Metaphor drives perception, that's why renaming is a powerful strategy.Names 
frame how you interact with things.  Just ask Dr. Lakoff. It appears the 
conflict metaphor has taken hold. 
~PM
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> From: [email protected]
> To: [email protected]
> Subject: [agi] Changing the Computational Paradigm
> Date: Tue, 8 Jan 2013 22:42:36 +0000
> 
> http://www.edge.org/conversation/normal-well-tempered-mind
> 
> "I'm trying to undo a mistake I made some years ago, and rethink the idea 
> that the way to understand the mind is to take it apart in the simpler minds 
> and then take those apart into still simpler minds until you get down to 
> minds that can be replaced by a machine. This is called homuncular 
> functionalism, because you take the whole person. You break the whole person 
> down into two or three or four or seven sub persons that are basically 
> agents. They're homunculi, and this looks like a regress, but it's only a 
> finite regress, because you take each of those in turn and you break it down 
> into a group of stupider, more specialized homunculi, and you keep going 
> until you arrive at parts that you can replace with a machine, and that's a 
> great way of thinking about cognitive science. It's what good old-fashioned 
> AI tried to do and still trying to do.
> 
> The idea is basically right, but when I first conceived of it, I made a big 
> mistake. I was at that point enamored of the McCulloch-Pitts logical neuron. 
> McCulloch and Pitts had put together the idea of a very simple artificial 
> neuron, a computational neuron, which had multiple inputs and a single 
> branching output and a threshold for firing, and the inputs were either 
> inhibitory or excitatory. They proved that in principle a neural net made of 
> these logical neurons could compute anything you wanted to compute. So this 
> was very exciting. It meant that basically you could treat the brain as a 
> computer and treat the neuron as a sort of basic switching element in the 
> computer, and that was certainly an inspiring over-simplification. Everybody 
> knew is was an over-simplification, but people didn't realize how much, and 
> more recently it's become clear to me that it's a dramatic 
> over-simplification, because each neuron, far from being a simple logical 
> switch, is a little agent with an agenda, and they are much more autonomous 
> and much more interesting than any switch.
> 
> 
> 
> The question is, what happens to your ideas about computational architecture 
> when you think of individual neurons not as dutiful slaves or as simple 
> machines but as agents that have to be kept in line and that have to be 
> properly rewarded and that can form coalitions and cabals and organizations 
> and alliances?  This vision of the brain as a sort of social arena of 
> politically warring forces seems like sort of an amusing fantasy at first, 
> but is now becoming something that I take more and more seriously, and it's 
> fed by a lot of different currents.
> 
> 
> Evolutionary biologist David Haig has some lovely papers on intrapersonal 
> conflicts where he's talking about how even at the level of the genetics, 
> even at the level of the conflict between the genes you get from your mother 
> and the genes you get from your father, the so-called madumnal and padumnal 
> genes, those are in opponent relations and if they get out of whack, serious 
> imbalances can happen that show up as particular psychological anomalies.
> 
> We're beginning to come to grips with the idea that your brain is not this 
> well-organized hierarchical control system where everything is in order, a 
> very dramatic vision of bureaucracy. In fact, it's much more like anarchy 
> with some elements of democracy. Sometimes you can achieve stability and 
> mutual aid and a sort of calm united front, and then everything is 
> hunky-dory, but then it's always possible for things to get out of whack and 
> for one alliance or another to gain control, and then you get obsessions and 
> delusions and so forth.
> You begin to think about the normal well-tempered mind, in effect, the 
> well-organized mind, as an achievement, not as the base state, something 
> that is only achieved when all is going well, but still, in the general 
> realm of humanity, most of us are pretty well put together most of the time. 
> This gives a very different vision of what the architecture is like, and I'm 
> just trying to get my head around how to think about that.
> What we're seeing right now in cognitive science is something that I've been 
> anticipating for years, and now it's happening, and it's happening so fast I 
> can't keep up with it. We're now drowning in data, and we're also happily 
> drowning in bright young people who have grown up with this stuff and for 
> whom it's just second nature to think in these quite abstract computational 
> terms, and it simply wasn't possible even for experts to get their heads 
> around all these different topics 30 years ago. Now a suitably motivated kid 
> can arrive at college already primed to go on these issues. It's very 
> exciting, and they're just going to run away from us, and it's going to be 
> fun to watch. 
> 
> 
> 
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